Boost your multivariate time series analysis with relational learning
getML’s feature engineering algorithms are applied to a multivariate time series to predict room occupancy outperforming all other approaches.
Getting Started with GetML
Curious how automated feature engineering with getML works? This guide demonstrates getML's capabilities from a user perspective using a simple data set.
How to beat 99% of competing models on loan default prediction
Use getML for automated data wrangling to tackle real-world data and get top-ranking results in just a couple of hours. A step-by-step guide.
Join us at the AI for Business Meetup in Leipzig on March 5
Do successful AI projects have similarities in the stakeholders' mindset or ML Tools used? Our Co-founder, Alex, will share his experience from implementing cross-industry AI solutions.
Introduction to Relational Data in Python, R and SQL
Automated feature engineering for relational business data? Sound great, but you don't really know what relational data is? This post is for you!
GetML gains 4% accuracy in customer churn prediction within 15 minutes of training
GetML empowers a multinational car manufacturer to improve on customer retention strategies by providing accurate churn predictions.
How automated feature engineering works
Introducing the most efficient feature engineering solution for relational data and time series.